Exploiting omic-based approaches to decipher Traditional Chinese Medicine

Bibliographic Data

ID14730684
AuthorsLei Li (0000-0002-0388-7933, Chengdu University of Traditional Chinese Medicine), Yueyue Guan (First People's Hospital of Chongqing), Yongjun Du (0000-0001-9313-4937, Chengdu University of Traditional Chinese Medicine), Zhen Chen (0009-0006-7688-3040, Chengdu University of Traditional Chinese Medicine), Haoyang Xie (Chengdu University of Traditional Chinese Medicine), Kejin Lu, K H Lu (0000-0002-8577-3963, Yunnan Agricultural University, corresponding author), Jian Kang (0009-0002-5713-1776, Chengdu University of Traditional Chinese Medicine, corresponding author), Ping Jin (0009-0006-5774-3421, Yunnan University, corresponding author)
Year2025
Volume337
IssuePt 3
Pages118936
Publication date2025-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Ethnopharmacology (JOURNAL)
Journal identifiersISSN: 0378-8741 • E-ISSN: 1872-7573
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jep.2024.118936
PMID39413937
OpenAlexW4403432826
LanguageEN
Citations received2
References cited185

ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese Medicine (TCM), an ancient health system, faces significant research challenges due to the complexity of its active components and targets, as well as a historical lack of detailed annotation. However, recent advances in omics technologies have begun to unravel these complexities, providing a more informed and nuanced understanding of TCM's therapeutic potential in contemporary healthcare. AIM OF THE REVIEW: This review summarizes the application of omics technologies in TCM modernization, emphasizing components analysis, quality control, biomarker discovery, target identification, and treatment optimization. In addition, future perspectives on using omics for precision TCM treatment are also discussed. MATERIALS AND METHODS: We have explored several databases (including PubMed, ClinicalTrials, Google Scholar, and Web of Science) to review related articles, focusing on Traditional Chinese Medicine, Omics Strategy, Precision Medicine, Biomarkers, Quality Control, and Molecular Mechanisms. Paper selection criteria involved English grammar, publication date, high citations, and broad applicability, exclusion criteria included low credibility, non-English publications, and those full-text inaccessible ones. RESULTS: TCM and the popularity of Chinese herbal medicines (CHMs) are gaining increasing attention worldwide. This is driven, in part, by a large number of technologies, especially omics strategy, which are aiding the modernization of TCM. They contribute to the quality control of CHMs, the identification of cellular targets, discovery of new drugs and, most importantly, the understanding of their mechanisms of action. CONCLUSION: To fully integrate TCM into modern medicine, further development of robust omics strategies is essential. This vision includes personalized medicine, backed by advanced computational power and secure data infrastructure, to facilitate global acceptance and seamless integration of TCM practices

Alternative medicine · Bioinformatics · Biological activity · Biology · Computational biology · DECIPHER · Pharmacognosy · Traditional Chinese medicine · Traditional medicine · Computational Drug Discovery Methods · Medicine · Metabolomics and Mass Spectrometry Studies · Traditional Chinese Medicine Studies · Genetics

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